HOW ARE AUTOMATION TRENDS TRANSFORMING

Transcription

1 HOW ARE AUTOMATION TRENDS TRANSFORMING PAULA PAW SENIOR SALES LEAD efulfilment OPERATIONS?

2 1 2 3 Present: The State of the Art The Future: Where we want to be How do we get there?

3 1 Present: The State of the Art

4 1 Present: The State of the Art LOGISTICS PLANNING TODAY?

5 1 Present: The State of the Art SUCCESSFUL DELIVERY

6 1 Present: The State of the Art NO HARDCOPIES!

7 Meanwhile, logisticians back at work Manual way of planning

8 Meanwhile, logisticians back at work Successful delivery

9 Meanwhile, logisticians back at work Much success!

10 Meanwhile, logisticians back at work Hardcopies 3-Point Matching: - Invoice - Purchase Order - Proof of Delivery 1 week s admin 15 minutes when automated!

11 Not everywhere in Asia has been brought into The State of the Art. We will come back to this in a while

12 2 The Future: Where we want to be

13 A Simplified Supply Chain Supply chains have multiple parties with many roles. Shopper Shipper Forwarders (4PLs) Transporters (3PLs, 2PLs) Drivers

14 Technology available for last mile parties The Trends we are seeing in the industry Shopper Consolidated Collection / Returns Real-time status tracking Real-time location tracking Cashless Payment on Delivery Shipper Real-time status update Data Analytics Automated E-POD Delivery to Person Forwarders (4PLs) Real-time status update Data Analytics (DFR) Integrated Solution for Freight (NTP) One stop freight clearance Transporters (3PLs, 2PLs) Real-time status update Automated SMS & E-POD Route Optimisation Machine Learning Capabilities Drivers Mobile apps Mobile Phone Tracking Routing apps (Individual) Payment Terminal on Mobile

15 Technology available for last mile parties Where are we at now? Generally speaking Shopper Consolidated Collection / Returns Real-time status tracking Real-time location tracking Cashless Payment on Delivery Shipper Real-time status update Data Analytics Automated E-POD Delivery to Person Forwarders (4PLs) Real-time status update Data Analytics (DFR) Integrated Solution for Freight (NTP) One stop freight clearance Transporters (3PLs, 2PLs) Real-time status update Automated SMS & E-POD Route Optimisation Machine Learning Capabilities Drivers Mobile apps Mobile Phone Tracking Routing apps (Individual) Payment Terminal on Mobile

16 Technology available for last mile parties Let s take a closer look at Shopper Consolidated Collection / Returns Real-time status tracking Real-time location tracking Cashless Payment on Delivery Shipper Real-time status update Data Analytics Automated E-POD Delivery to Person Forwarders (4PLs) Real-time status update Data Analytics (DFR) Integrated Solution for Freight (NTP) One stop freight clearance Transporters (3PLs, 2PLs) Real-time status update Automated SMS & E-POD Route Optimisation Machine Learning Capabilities Drivers Mobile apps Mobile Phone Tracking Routing apps (Individual) Payment Terminal on Mobile

17 Supply chains: Multiple parties with many roles Let s take a quick case study Shopper Shipper Forwarders (4PLs) Transporters (3PLs, 2PLs) Drivers

18 At the epod stage, using epod Won more contracts Happier customers Better customer service

19 Aspirations for the future Fully Automated Planning with Machine Learning + + Route Optimisation Auto-allocation of drivers to jobs Learning Algorithm improves over time based on human interaction

20 Time constraints What time does the job need to happen? What are the timings to avoid? Route Optimisation Others: Cost of trips? Job requirements? Service Time What is the waiting time? Travelling time Loading / unloading time? Driver hours What are the drivers working hours? What time is he available? What time is lunch? Load How much can fit into the vehicle? What is the capacity for each vehicle type (bike vs truck vs lorry)

21 Where does this bring us to? Instant, optimized dispatching with zero errors! Route Optimisation Automated Planning Machine Learning Learning algorithm improves from users interactions

22 Machine Learning AlphaGo vs Lee Sedol

23 3 How do we get there? The technology adoption trends

24 Internet users in Southeast Asia 36M 43M 21M 21M 4M 80M 205M Total Internet Users in Big 6 SEA countries Source: Euromonitor

25 Mobile Commerce on the rise SINGAPORE MALAYSIA INDONESIA Source: SP Ecommerce

26 So the landscape is prepared What about us? Do we have the money? Can we afford it?

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28 Deployment costs and time Logistics Enterprise Cost to deploy: $ XX Million Time to deploy: 1 5 years Cost to deploy: $ 30 per driver / month Time to deploy: 30 seconds

29 VersaFleet catalyzes logistics operations 300,000+ tasks powered to date % drivers plugged in companies subscribed resellers worldwide growth year-on-year 3PL Logistics Brands Partners

30 Contact Us versafleet.co Paula Paw